Evidence map›Paper›PMID 32812640›Full record

ReviewInflammatory bowel diseases2020

Tissue-based Gene Expression as Potential Biomarkers for IBD Course.

Yael Haberman

Abstract readReview
In one paragraph

Review in Inflammatory bowel diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Yael HabermanCincinnati Children's Hospital Medical Center and the University of Cincinnati College of Medicine, OH, USA.

Funding

Stem Cell/Organoid and Genome Editing CoreP30DK078392 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI Kathryn Ann Wikenheiser-Brokamp · 2007 to 2026
$24.4M
Predicting Response to Standardized Pediatric Colitis Therapy: PROTECT StudyU01DK095745 · NIDDK · CONNECTICUT CHILDREN'S MEDICAL CENTER · PI DENSON, LEE ARMISTEAD, HYAMS, JEFFREY SAMUEL · 2012 to 2016
$10.4M
NIDDK NIH HHS P30 DK078392NIDDK NIH HHS U01 DK095745
6 · The paper itself

Abstract

Inflammatory bowel diseases (IBDs) are highly heterogeneous in disease phenotype, behavior, and response to therapy. Diagnostic and therapeutic decisions in IBD are based primarily on clinical and endoscopic severity and histopathologic analysis of intestinal biopsies. With this approach, however, only a minority of patients experience durable remission. This may be due to substantial heterogeneity in disease pathogenicity that is not accounted for by current classification systems. Patients can present with similar clinical and endoscopic severity and receive similar therapy but show divergent response ranging from mucosal/transmural healing to nonresponse. Using mucosal biopsy samples that are already obtained as part of the clinical practice to support the diagnosis and state-of-the-art high throughput sequencing approaches can detect the widest range in host gene expression in the actual lining of the affected gut. These analyses can better dissect disease heterogeneity and guide potential treatment response. Here we review studies that use gut tissue-based gene expression profiles to predict disease outcome in IBD.

Indexed as

High-Throughput Nucleotide SequencingBiomarkersBiopsyGene ExpressionGene Expression ProfilingHumansInflammatory Bowel DiseasesIntestinal MucosaBiomarkersCrohn’s diseaseRNAseqtissue based gene expression biomarkersulcerative colitis

Identifiers

PMID32812640
PMCPMC7500516

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.